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Promoting creativity is considered an important goal of education, but creativity is notoriously hard to measure.In this paper, we make the journey fromdefining a formal measure of creativity that is efficientlycomputable to applying the…

Human-Computer Interaction · Computer Science 2022-11-11 Anastasia Kovalkov , Benjamin Paaßen , Avi Segal , Niels Pinkwart , Kobi Gal

Recent applications of neural language models have led to an increased interest in the automatic generation of natural language. However impressive, the evaluation of neurally generated text has so far remained rather informal and…

Computation and Language · Computer Science 2017-08-21 E. Manjavacas , J. de Gussem , W. Daelemans , M. Kestemont

Artificial students -- models that simulate how learners act and respond within educational systems -- are a promising tool for evaluating tutoring strategies and feedback mechanisms at scale. However, most existing approaches rely on…

Artificial Intelligence · Computer Science 2026-05-14 Charles Koutcheme , Juho Leinonen , Arto Hellas

Peer assessment is a popular technique for a more fine-grained evaluation of individual students in group projects. Its effect on the evaluation is well studied. However, its effects on the learning abilities of students are often…

Software Engineering · Computer Science 2020-12-08 Wouter Groeneveld , Joost Vennekens , Kris Aerts

Ever since Large Language Models (LLMs) and related applications have become broadly available, several studies investigated their potential for assisting educators and supporting students in higher education. LLMs such as Codex, GPT-3.5,…

Artificial Intelligence · Computer Science 2024-07-08 Imen Azaiz , Natalie Kiesler , Sven Strickroth

User interface (UI) design is a difficult yet important task for ensuring the usability, accessibility, and aesthetic qualities of applications. In our paper, we develop a machine-learned model, UIClip, for assessing the design quality and…

Human-Computer Interaction · Computer Science 2024-04-24 Jason Wu , Yi-Hao Peng , Amanda Li , Amanda Swearngin , Jeffrey P. Bigham , Jeffrey Nichols

Feedback is critical in education. This Innovative Practice Full Paper reports lessons learned from improving the quality of feedback in a semi-capstone software engineering course, with particular focus on how to deliver productive…

Software Engineering · Computer Science 2022-08-17 Torgeir Dingsøyr

AI-supported tools can help learners overcome challenges in programming education by providing adaptive assistance. However, existing research often focuses on individual tools rather than deriving broader design recommendations. A key…

Human-Computer Interaction · Computer Science 2025-03-04 Zihan Wu , Yicheng Tang , Barbara Ericson

The assessment of source code in university education is a central and important task for lecturers of programming courses. In doing so, educators are confronted with growing numbers of students having increasingly diverse prerequisites, a…

Software Engineering · Computer Science 2023-06-09 Clemens Sauerwein , Tobias Antensteiner , Stefan Oppl , Iris Groher , Alexander Meschtscherjakov , Philipp Zech , Ruth Breu

In software engineering, it is not enough to simply write code that only works as intended, even if it is free from vulnerabilities and bugs. Every programming language has a style guide and a set of best practices defined by its community,…

Providing students with individualized feedback through assignments is a cornerstone of education that supports their learning and development. Studies have shown that timely, high-quality feedback plays a critical role in improving…

Machine Learning · Computer Science 2025-01-27 Pavlin G. Poličar , Martin Špendl , Tomaž Curk , Blaž Zupan

The increasing demand for programming language education and growing class sizes require immediate and personalized feedback. However, traditional code review methods have limitations in providing this level of feedback. As the capabilities…

Software Engineering · Computer Science 2025-06-23 Lee Dong-Kyu

Software developers use metrics to evaluate code quality and productivity, but these practices are still rare in programming education. This project bridges the gap by collecting real-time learning analytics from individual student and…

The increasing use of Generative Artificial Intelligence (GAI) tools in education highlights the need to understand their influence on individuals' thinking processes and agency. This research explored 20 university students' interaction…

Human-Computer Interaction · Computer Science 2024-12-02 Tianlong Zhong , Gaoxia Zhu , Kang You Lim , Yew Soon Ong

Python, one of the most prevalent programming languages today, is widely utilized in various domains, including web development, data science, machine learning, and DevOps. Recent scholarly efforts have proposed a methodology to assess…

Accurate programming is a practical approach to producing high quality programs. It combines ideas from test-automation, test-driven development, agile programming, and other state of the art software development methods. In addition to…

Programming Languages · Computer Science 2011-09-06 Walid Taha , Veronica Gaspes , Rex Page

Computer-aided design (CAD) programs are essential to engineering as they allow for better designs through low-cost iterations. While CAD programs are typically taught to undergraduate students as a job skill, such software can also help…

Rigorous and interactive class discussions that support students to engage in high-level thinking and reasoning are essential to learning and are a central component of most teaching interventions. However, formally assessing discussion…

Computation and Language · Computer Science 2023-06-28 Nhat Tran , Benjamin Pierce , Diane Litman , Richard Correnti , Lindsay Clare Matsumura

Producing code of good quality is an essential skill in software development. Code quality is an aspect of software quality that concerns the directly observable properties of code, such as decomposition, modularization, and code flow. Code…

Software Engineering · Computer Science 2024-11-06 Eduardo Carneiro Oliveira , Hieke Keuning , Johan Jeuring

This work describes the TrueLearn Python library, which contains a family of online learning Bayesian models for building educational (or more generally, informational) recommendation systems. This family of models was designed following…

Information Retrieval · Computer Science 2023-09-22 Yuxiang Qiu , Karim Djemili , Denis Elezi , Aaneel Shalman , María Pérez-Ortiz , Sahan Bulathwela
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